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2 дня назад

AI Engineer

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer (Generative AI/ML): Designing, developing, and deploying machine-learning and deep-learning solutions, including RAG systems, agentic workflows, and conversational AI agents, with an accent on scalable pipelines, production integration, and model monitoring. Focus on building and fine-tuning LLMs, deploying APIs and microservices, optimizing performance and cost, and addressing drift, bias, fairness, and reliability in production.

Location: Remote within the USA

Company

hirify.global delivers technology solutions for clients, guided by values of empowerment, leadership, innovation, teamwork, and excellence.

What you will do

  • Develop AI and machine-learning models end to end, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring.
  • Build generative-AI solutions such as RAG systems, agentic workflows, MCP servers, and conversational AI agents.
  • Collaborate with data engineering teams on data pipelines, feature stores, and orchestration frameworks.
  • Integrate AI models into production systems through REST APIs, microservices, and cloud deployments.
  • Optimize solutions for performance, scalability, robustness, and cost efficiency.
  • Work with clients to translate business requirements into AI solutions and communicate results.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of hands-on experience developing and deploying AI/ML models.
  • Strong Python skills and experience with TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
  • Experience with vector databases, RAG, agentic workflows, and building or fine-tuning LLMs.
  • Experience deploying production models with REST APIs, microservices, and monitoring.
  • Knowledge of algorithms, data structures, statistics, machine-learning fundamentals, and MLOps tools such as MLflow, Kubeflow, or SageMaker.

Nice to have

  • Experience with computer vision, time-series modeling, or multimodal AI.
  • Familiarity with Text-to-Speech and Speech-to-Text solutions such as Deepgram, ElevenLabs, or Cartesia.
  • Publications, open-source contributions, or personal AI/ML projects.

Culture & Benefits

  • Values-driven environment focused on empowerment, leadership, innovation, teamwork, and excellence.
  • Equal employment opportunities for applicants and employees from all backgrounds.
  • Support is available during the application and interview process.

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